Talk:Data Visualization: Difference between revisions
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=Data Visualization vs. Information Visualization= | =Data Visualization vs. Information Visualization= | ||
What are the differences between DataVis and InfoVis? [[User:Yijisoo|Yijisoo]] | What are the differences between DataVis and InfoVis? [[User:Yijisoo|Yijisoo]] | ||
== Hard question == | |||
Wohoo - that's the one million dollar question I was thinking about many times ;-) | |||
I've found no definition in literature that would point out the differences between the two terms. Anyways, I tried to differentiate the two terms by means of needed ''semantics'' for meaningful visualizations: | |||
'''Data Visualization:''' Visualization techniques for data represent a set of parameters over time graphically whereas no semantics are needed in order to create a meaningful visualization (e.g., Scatterplot). This also includes simple processing on raw data that ''do not require semantics'' (derived data; e.g., Histogram, Boxplot, mean, other statistical measures, clustering, etc.). Furthermore, data visualization techniques are often of static nature. | |||
'''Information Visualization''': In contrast to the previous class, visualization techniques for information need semantics, i.e., the meaning of different parameters and their interrelationships or structure are important in order to create a meaningful representation (e.g., InfoBUG glyph). | |||
What do you think about this definitions? | |||
-- [[User:Iwolf|Wolfgang Aigner]] 09:43, 6 June 2006 (CEST) | |||
Revision as of 09:43, 6 June 2006
Data Visualization vs. Information Visualization
What are the differences between DataVis and InfoVis? Yijisoo
Hard question
Wohoo - that's the one million dollar question I was thinking about many times ;-)
I've found no definition in literature that would point out the differences between the two terms. Anyways, I tried to differentiate the two terms by means of needed semantics for meaningful visualizations:
Data Visualization: Visualization techniques for data represent a set of parameters over time graphically whereas no semantics are needed in order to create a meaningful visualization (e.g., Scatterplot). This also includes simple processing on raw data that do not require semantics (derived data; e.g., Histogram, Boxplot, mean, other statistical measures, clustering, etc.). Furthermore, data visualization techniques are often of static nature.
Information Visualization: In contrast to the previous class, visualization techniques for information need semantics, i.e., the meaning of different parameters and their interrelationships or structure are important in order to create a meaningful representation (e.g., InfoBUG glyph).
What do you think about this definitions?
-- Wolfgang Aigner 09:43, 6 June 2006 (CEST)